Simone Melzi is an Associate Professor at the University of Milano-Bicocca. He received his PhD in Computer Science from the University of Verona (2018) after graduating in Mathematics at the University of Milan (2013). He held postdoctoral positions at Sapienza University of Rome, École Polytechnique, and the University of Verona. His research focuses on geometry processing, 3D shape analysis, and Geometric deep learning. He was awarded the Eurographics Young Researcher Award , the EG-Italy PhD Thesis Award, a Marie-Curie Individual Fellowship (Seal of Excellence), and the BE-FOR-ERC grant. He is a Eurographics Junior Fellow and an ELLIS Scholar.

Daniele is a PostDoc researcher in the 3DiG group at University of Milano-Bicocca. His research interests lie in Computer Vision and 3D Graphics, in particular focusing on integration of neural shape representations in CG pipelines. He received his Ph.D. from Sapienza University of Rome in 2025, as well as his MSc (2021) and BSc (2019) degrees.

Lorenzo Olearo is a first-year PhD student at the University of Milano-Bicocca where he also obtained his Master’s Degree in Computer Science (2024). He is currently working under the supervision of Prof. Simone Melzi at the 3DiG lab, his research lies at the intersection between image generation and 3D geometry representations. Currently, he is exploring flow-based representations for 3D shapes and their applications.

Giulio Viganò is a PhD researcher in Computer Science with a background in Mathematics (M.Sc., University of Milan, recipient of the EG-Italy Best MSc Thesis Award). His work revolves around geometry processing and machine learning. He is particularly interested in developing machine learning techniques for spectral geometry processing, as well as in utilizing spectral geometry to enhance machine learning. He has collaborated with researchers at École Polytechnique and UC Santa Barbara. He is fascinated by the elegance of well-done things — from mathematics to carefully shaped ideas — and by the clarity that emerges from simplicity and structure.

Alessandro Riva is a second year PhD student at the University of Milano-Bicocca and has a Master’s Degree in computer science. His research interests include geometry processing, computer vision and machine learning. He works in the 3DiG research lab under the supervision of Prof. Simone Melzi. Currently he’s exploring the use of geometric priors to boost 3D data architectures, with a focus on transformers, both in the context of point clouds and meshes for tasks such as shape matching and mesh generation. In his free time he enjoys photography and 3D art, passions that also drive his research interests in computer vision and geometry processing.